- 一、排序
- 1.快速排序
- 2.归并排序
- 二、二分
- 1、整数二分
- 2、浮点数二分
- 三、高精度
- 四种应用场景:
- ①加法:
- ②减法:
- ③乘法:
- ④除法:
- 四、前缀和
- 1、一维
- 2、二维
- 五、差分
- 1.一维差分
- 2.二维差分
- 六、双指针算法
- 七、位运算
- 1、n的二进制表示中第k位是多少?
- 2、返回n的最后一位1
- 八、离散化
一、排序 1.快速排序
算法思想:
快速排序模板 使用较多为面试官要求,手写快排。
代码:
//快速排序模板 面试官,手写快排 #includeusing namespace std; const int N = 1e6 + 10; int n; int q[N]; void quick_sort(int q[], int l, int r) { if (l >= r) return;//判断边界 int x = q[l];//随机取 int i = l - 1;//初始位置为最右侧的元素的前面 int j = r + 1;//初始位置为最左侧的元素的后面 while (i < j) { do i++; while (q[i] < x); do j--; while (q[j] > x); if (i < j)swap(q[i], q[j]); } quick_sort(q, l, j);//这里j对应取q[l],不能取r,否则会出现递归死循环 quick_sort(q, j + 1, r);//同理,i对应取q[r],不能取q[l] } int main() { scanf("%d", &n); for (int i = 0; i < n; i++)scanf("%d", &q[i]); quick_sort(q, 0, n - 1); for (int i = 0; i < n; i++)printf("%d ", q[i]); return 0; }
2.归并排序
算法思想:
代码如下:
#include二、二分 1、整数二分using namespace std; const int N = 1000010; int n; int q[N],temp[N]; //归并 void merge_sort(int q[], int l, int r) { if (l >= r) return;//判断边界 int mid = (l + r)/2; merge_sort(q, l, mid); merge_sort(q, mid + 1,r); //归并过程,将两个有序的序列归并到temp中 int k = 0;//用来表示辅助数组temp中已经合并有元素的个数 int i = l;//指向左半边起点 int j = mid + 1;//指向右半边起点 while (i <= mid && j <= r) { if (q[i] <= q[j]) temp[k++] = q[i++]; else temp[k++] = q[j++]; } while (i <= mid) temp[k++] = q[i++]; while (j <= r)temp[k++] = q[j++]; for (i = l, j = 0; i <= r; i++, j++) q[i] = temp[j];//将temp结果存回q中 } int main() { scanf("%d", &n); for (int i = 0; i < n; i++) scanf("%d", &q[i]); merge_sort(q, 0, n - 1); for (int i = 0; i < n; i++) printf("%d ", q[i]); return 0; }
思想:
二分找边界:
注意:进行 l=mid 更新时,取mid=(l+r+1)/ 2,补上+1是防止进入死循环。
#include2、浮点数二分using namespace std; const int N = 100010; int n,m; int q[N]; int main() { scanf("%d%d", &n, &m); for (int i = 0; i < n; i++) scanf("%d", &q[i]); while (m--) { int x; scanf("%d", &x); int l = 0, r = n - 1; while (l < r) { int mid = (l + r) / 2; if (q[mid] >= x) r = mid; else l = mid + 1; } if (q[l] != x) cout << "-1 -1" << endl; else { cout << l << ' '; int l = 0, r = n - 1; while (l < r) { int mid = (l + r + 1) / 2; if (q[mid] <= x) l = mid; else r = mid - 1; } cout << l << endl; } } return 0; }
求一个浮点数的开方:
#include三、高精度using namespace std; int main() { double x; cin >> x; double l = 0, r = x; while (r-l>1e-8) { double mid = (l + r) / 2; if (mid * mid >= x) r = mid; else l = mid; } printf("%lfn", l); return 0; }
C++需要考虑的问题;在Java 和 Python中不需要考虑
四种应用场景:
大整数在数组中的存储形式:个位存储在前面
①加法:#include②减法:#include using namespace std; //C = A + B 模板 vector add(vector & A, vector & B) { vector c; int t = 0; //进位 for (int i = 0; i < A.size() || i < B.size(); i++) { if (i < A.size())t += A[i]; if (i < B.size())t += B[i];//此时,t=t+A[i]+B[i] c.push_back(t % 10); t /= 10;//大于10产生进位 } if (t)c.push_back(1);//判断一下,最高位是否有进位 return c; } int main() { string a, b; vector A, B; cin >> a >> b;//a="123456" for (int i = a.size() - 1; i >= 0; i--)A.push_back(a[i] - '0'); for (int i = b.size() - 1; i >= 0; i--)B.push_back(b[i] - '0'); auto c = add(A, B); //auto代表编译器自己推断类型 for (int i = c.size() - 1; i >= 0; i--) { printf("%d", c[i]); } return 0; }
A-B分两种情况 : A >= B,直接进行计算 A < B,则计算 -(B-A)
#include③乘法:#include using namespace std; //函数判断是否有A>=B bool cmp(vector & A, vector & B) { //先判断位数,位数不同直接返回结果 if (A.size() != B.size()) return A.size() > B.size(); for (int i = A.size() - 1; i >= 0; i--) {//从高位开始进行比较 if(A[i]!=B[i]){ return A[i] > B[i]; } return true; } } //C = A-B 模板 vector sub(vector & A, vector & B) { vector c; int t = 0; //进位 for (int i = 0, t = 0; i < A.size(); i++) { t = A[i] - t; if (i < B.size()) t -= B[i]; c.push_back((t + 10 )% 10); if (t < 0) t = 1; else t = 0; } while (c.size() > 1 && c.back() == 0) c.pop_back();//去掉前导0 return c; } int main() { string a, b; vector A, B; cin >> a >> b;//a="123456" for (int i = a.size() - 1; i >= 0; i--)A.push_back(a[i] - '0'); for (int i = b.size() - 1; i >= 0; i--)B.push_back(b[i] - '0'); //先判断A、B的的大小 if (cmp(A, B)) { auto c = sub(A, B); //auto代表编译器自己推断类型 for (int i = c.size() - 1; i >= 0; i--) { printf("%d", c[i]); } } else { auto c = sub(B, A); //auto代表编译器自己推断类型 printf("-"); for (int i = c.size() - 1; i >= 0; i--) { printf("%d", c[i]); } } return 0; }
#include④除法:#include using namespace std; //c=A*b vector mult(vector & A, int b) { vector c; int t = 0; //进位 for (int i = 0; i < A.size() || t; i++) { if(i string a; int b; cin >> a >> b;; vector A; for (int i = a.size() - 1; i >= 0; i--)A.push_back(a[i] - '0'); auto c = mult(A, b); for (int i = c.size() - 1; i >= 0; i--)printf("%d", c[i]); return 0; }
#include四、前缀和 1、一维#include #include using namespace std; // c=A/b ,商是c,余数是r vector div(vector & A, int b,int &r) { vector c; //商 r = 0; for (int i = A.size()-1; i >=0; i--) { r = r * 10 + A[i]; c.push_back(r / b); r %= b; } reverse(c.begin(), c.end()); while (c.size() > 1 && c.back() == 0) c.pop_back();//去掉前导0 return c; } int main() { string a; int b; cin >> a >> b;; vector A; for (int i = a.size() - 1; i >= 0; i--)A.push_back(a[i] - '0'); int r; auto c = div(A, b,r); for (int i = c.size() - 1; i >= 0; i--)printf("%d", c[i]); cout << endl; cout << r << endl; return 0; }
#include2、二维using namespace std; const int N = 100010; int k, m; int a[N], s[N]; int main() { scanf("%d%d", &k, &m); for (int i = 1; i <= k; i++)scanf("%d", &a[i]); for (int i = 1; i <= k; i++)s[i] = s[i - 1] + a[i];//前缀和的初始化 while (m--) { int l, r; scanf("%d%d", &l, &r); printf("%dn", s[r] - s[l - 1]);//区间和的计算 } return 0; }
#include五、差分const int N = 1010; int m1, n1, q; int a[N][N], s[N][N]; int main() { scanf("%d%d%d", &n1, &m1, &q); for (int i = 1; i <= n1; i++) { for (int j = 1; j <= m1; j++) { scanf("%d", &a[i][j]); } } for (int i = 1; i <= n1; i++) for (int j = 1; j <= m1; j++) s[i][j] = s[i - 1][j] + s[i][j - 1] - s[i][j - 1] + a[i][j];//求前缀和 while (q--) { int x1, y1, x2, y2; scanf("%d%d%d%d", &x1, &x2, &y1, &y2); printf("%dn", s[x2][y2] - s[x1 - 1][2] - s[x2][y1 - 1] + s[x1 - 1][y1 - 1]);//算子矩阵的和 } return 0; }
前缀和的逆运算;构造B数组,使得A数组是其前缀和,A称为前缀和;B称为差分。
#include2.二维差分using namespace std; const int N = 100010; int m, n; int a[N], b[N]; void insert(int l, int r, int c) { b[l] += c; b[r + 1] -= c; } int main() { scanf("%d%d", &n, &m); for (int i = 1; i <= n; i++) scanf("%d", &a[i]); //从前往后,插入构造 for (int i = 1; i <= n; i++) insert(i, i, a[i]); while (m--) { int l, r, c; scanf("%d%d%d", &l, &r, &c); insert(l, r, c); } for (int i = 1; i <= n; i++) b[i] += b[i - 1]; for (int i = 1; i <= n; i++) printf("%d ", b[i]); return 0; }
#include六、双指针算法using namespace std; const int N = 1010; int n2, m2, q1; int a[N][N];//原矩阵 int b[N][N];//差分矩阵 void insert(int x1, int y1, int x2, int y2, int c) { b[x1][y1] += c; b[x2 + 1][y1] -= c; b[x1][y2 + 1] -= c; b[x2 + 1][y2 + 1] += c; } int main() { scanf("%d%d%d", &n2, &m2, &q1); for (int i = 1; i <= n2; i++) for (int j = 1; j <= m2; j++) scanf("%d", &a[i][j]); for (int i = 1; i <= n2; i++) for (int j = 1; j <= m2; j++) insert(i, j, i, j, a[i][j]); while (q1--) { int x1, x2, y1, y2, c; cin >> x1 >> y1 >> x2 >> y2 >> c; insert(x1, y1, x2, y2, c); } for (int i = 1; i <= n2; i++) for (int j = 1; j <= m2; j++) b[i][j] += b[i - 1][j] + b[i][j - 1] - b[i - 1][j - 1]; for (int i = 1; i <= n2; i++) { for (int j = 1; j <= m2; j++) printf("%d ", b[i][j]); puts(""); } return 0; }
凡是具有以下形式的算法都可以被称作双指针算法
for(i=0,j=0;jwhile(j 核心思想:将下面的朴素算法优化到O(n)
for(int i=0;in;j++) O(N^2) 核心思想是利用单调性,省去多余的遍历, 将原本On²的问题化简为On,具体形式可分为: 1.双序列双指针:如归并排序 2.单序列双指针:如字符串匹配例题:
双指针问题:解决思路可以从暴力做法进行切入#include七、位运算 1、n的二进制表示中第k位是多少?using namespace std; const int N = 100010; int n; int a[N];//原来的数 int s[N];//当前j到i区间每个数出现的次数 int main() { cin >> n; for (int i = 0; i < n; i++)cin >> a[i]; int res = 0; for (int i = 0, j = 0; i < n; i++) { s[a[i]]++; while (s[a[i]]>1) { s[a[j]]--; j++; } res = max(res, i - j + 1); } cout << res << endl; return 0; } ①先把第k位移动到最后一位 n>>k ②看一下个位是多少 x&1 结合①② 得到公式:n>>k&1#include2、返回n的最后一位1using namespace std; int main() { int n = 10; for (int k = 3; k >= 0; k--) cout << (n >> k & 1); return 0; } //输出结果 1010 lowbit(x):返回x的最后一位1 若x=1010 则 lowbit(x)=10; 若x=10100 则lowbit(x)=100;实现原理:x&-x = x&(~x+1)
负数-x,存储是补码形式,在x 的基础上取反加1lowbit应用:统计x中1的个数
//统计二进制中1的个数 #include八、离散化using namespace std; int lowbit(int x) { return x & -x; } int main() { int n; cin >> n; while (n--) { int x; cin >> x; int res = 0; while (x) { x -= lowbit(x);//每次减去x的最后一位1 res++; } cout << res << ' '; } return 0; } 核心思想是将很大范围的稀疏点按次序映射到一个数组中,类似哈希,方便查询一个范围的和等操作。
//区间和 #include#include #include using namespace std; typedef pair PII; const int N = 300010;//数据规模是n+2m,其中n,m都小于1000000 int n, m; int a[N], s[N]; vector alls;//存储需要离散化的数据 vector add; vector query; int find(int x) { int l = 0, r = alls.size() - 1; while (l < r) { int mid = l + r >> 1; if (alls[mid] >= x) r = mid; else l = mid + 1; } return r + 1; } //unique函数实现原理:双指针思想 vector ::iterator unique(vector & a) { int j = 0; for (int i = 0; i < a.size(); i++) if (!i || a[i] != a[i - 1])// 将所有满足性质的数拿出来 a[j++] = a[i]; //此时,a[0]-a[j-1]所有a中不重复的数 return a.begin() + j; } int main() { cin >> n >> m; for (int i = 0; i < n; i++) { int x, c; cin >> x >> c; add.push_back({ x,c }); alls.push_back(x); } for (int i = 0; i < m; i++) { int l, r; cin >> l >> r; query.push_back({ l, r }); alls.push_back(l); alls.push_back(r); } //去重 sort(alls.begin(), alls.end()); //alls.erase(unique(alls.begin(), alls.end()), alls.end()); alls.erase(unique(alls), alls.end()); for (auto item : add) { int x = find(item.first); a[x] += item.second; } //预处理前缀和 for (int i = 0; i <= alls.size(); i++) { s[i] = s[i - 1] + a[i]; } //处理询问 for (auto item : query) { int l = find(item.first), r = find(item.second); cout << s[r] - s[l - 1] << endl; } return 0; } //区间合并: #include#include #include using namespace std; typedef pair PII; const int N = 100010; int n; vector segs; void merge(vector & segs) { vector res; sort(segs.begin(), segs.end());//在c++中优先以左端点排序 int st = -2e9; int ed = -2e9; for (auto seg : segs) if (ed < seg.first) {//当前维护的区间严格在枚举区间的左边,没有交集 if (st != -2e9) res.push_back({ st,ed }); st = seg.first; ed = seg.second; } else ed = max( ed,seg.second );//有交集 if (st != -2e9) res.push_back({ st,ed }); segs = res; } int main() { cin >> n; for (int i = 0; i < n; i++) { int l, r; cin >> l >> r; segs.push_back({ l,r }); } merge(segs); cout << segs.size() << endl; return 0; }



